Arvinder Kaur

According to our database, Arvinder Kaur authored at least 83 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Smadasyn-boosted cross-project transfer learning for effective security fault prediction".

Rashmi, Arvinder Kaur

Evol. Intell., August, 2025

2024

Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges.

Arvinder Kaur, Yugal Kumar, Jagpreet Sidhu

Artif. Intell. Rev., October, 2024

An enhanced human learning optimisation algorithm for effective data clustering.

Jigyasa Goyal, Yugal Kumar, Pardeep Kumar, Arvinder Kaur

Int. J. Grid Util. Comput., 2024

Exploring CNN Model Optimization Strategies for Plant Disease Classification.

Abhishek Dwivedi, Lalit Birla, Chiranjit Pal, Arvinder Kaur

Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

2023

SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software.

Harguneet Kaur, Arvinder Kaur

J. Inf. Knowl. Manag., October, 2023

Summarization of Software Bug Report based on Sentence Semantic Similarity (SSBRSSS) Technique.

Shubhra Goyal Jindal, Arvinder Kaur

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2022

Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms.

Rashmi Arora, Arvinder Kaur

Vietnam. J. Comput. Sci., 2022

A multi-objective vibrating particle system algorithm for data clustering.

Arvinder Kaur, Yugal Kumar

Pattern Anal. Appl., 2022

An empirical study of Aging Related Bug prediction using Cross Project in Cloud Oriented Software.

Harguneet Kaur, Arvinder Kaur

Informatica (Slovenia), 2022

A new metaheuristic algorithm based on water wave optimization for data clustering.

Arvinder Kaur, Yugal Kumar

Evol. Intell., 2022

Neighborhood search based improved bat algorithm for data clustering.

Arvinder Kaur, Yugal Kumar

Appl. Intell., 2022

2021

Comparative analysis of software fault prediction using various categories of classifiers.

Inderpreet Kaur, Arvinder Kaur

Int. J. Syst. Assur. Eng. Manag., 2021

Performance comparison of Bat search and Cuckoo search using software artefact infrastructure repository and regression testing.

Arun Prakash Agrawal, Arvinder Kaur

Int. J. Adv. Intell. Paradigms, 2021

A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell Detection.

Inderpreet Kaur, Arvinder Kaur

IEEE Access, 2021

TruClu: Trust Based Clustering Mechanism in Software Defined Vehicular Networks.

Deepanshu Garg, Arvinder Kaur, Abderrahim Benslimane, Rasmeet S. Bali, Neeraj Kumar, Sudeep Tanwar, Joel J. P. C. Rodrigues, Mohammad S. Obaidat

Proceedings of the IEEE Global Communications Conference, 2021

2020

A novel Chaotic Flower Pollination-based intrusion detection framework.

Amrit Pal Singh, Arvinder Kaur, Saibal Kumar Pal

Soft Comput., 2020

Fault coverage-based test suite optimization method for regression testing: learning from mistakes-based approach.

Arun Prakash Agrawal, Ankur Choudhary, Arvinder Kaur, Hari Mohan Pandey

Neural Comput. Appl., 2020

Performance evaluation of web service response time probability distribution models for business process cycle time simulation.

Raghu Ramakrishnan, Arvinder Kaur

J. Syst. Softw., 2020

An empirical comparison of predictive models for web page performance.

Raghu Ramakrishnan, Arvinder Kaur

Inf. Softw. Technol., 2020

An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm.

Arun Prakash Agrawal, Ankur Choudhary, Arvinder Kaur

Int. J. Distributed Syst. Technol., 2020

Information Retrieval from Software Bug Ontology Exploiting Formal Concept Analysis.

Shubhra Goyal Jindal, Arvinder Kaur

Computación y Sistemas, 2020

Hybridization of Chaos and Flower Pollination Algorithm over K-Means for data clustering.

Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh

Appl. Soft Comput., 2020

Automatic Keyword and Sentence-Based Text Summarization for Software Bug Reports.

Shubhra Goyal Jindal, Arvinder Kaur

IEEE Access, 2020

2019

Text analytics based severity prediction of software bugs for apache projects.

Arvinder Kaur, Shubhra Goyal Jindal

Int. J. Syst. Assur. Eng. Manag., 2019

Little's law based validation framework for load testing.

Raghu Ramakrishnan, Arvinder Kaur

Inf. Softw. Technol., 2019

2018

Automatic test case generation through collaboration diagram: a case study.

Arvinder Kaur, Vidhi Vig

Int. J. Syst. Assur. Eng. Manag., 2018

Hybridization of K-Means and Firefly Algorithm for intrusion detection system.

Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh

Int. J. Syst. Assur. Eng. Manag., 2018

New chaotic flower pollination algorithm for unconstrained non-linear optimization functions.

Arvinder Kaur, Saibal Kumar Pal, Amrit Pal Singh

Int. J. Syst. Assur. Eng. Manag., 2018

An empirical evaluation of classification algorithms for fault prediction in open source projects.

Arvinder Kaur, Inderpreet Kaur

J. King Saud Univ. Comput. Inf. Sci., 2018

Test effort estimation and prediction of traditional and rapid release models using machine learning algorithms.

Vidhi Vig, Arvinder Kaur

J. Intell. Fuzzy Syst., 2018

Entropy Churn Metrics for Fault Prediction in Software Systems.

Arvinder Kaur, Deepti Chopra

Entropy, 2018

An effective approach for regression test case selection using pareto based multi-objective harmony search.

Ankur Choudhary, Arun Prakash Agrawal, Arvinder Kaur

Proceedings of the 11th International Workshop on Search-Based Software Testing, 2018

Comparative Analysis of Chaotic Variant of Firefly Algorithm, Flower Pollination Algorithm and Dragonfly Algorithm for High Dimension Non-linear Test Functions.

Amrit Pal Singh, Arvinder Kaur

Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018

2017

Comparing and evaluating the effectiveness of mobile Web adequacy evaluation tools.

Arvinder Kaur, Diksha Dani

Univers. Access Inf. Soc., 2017

An empirical study of software entropy based bug prediction using machine learning.

Arvinder Kaur, Kamaldeep Kaur, Deepti Chopra

Int. J. Syst. Assur. Eng. Manag., 2017

Mobile web accessibility readiness of government websites using diagnostic tools: an exploratory study.

Arvinder Kaur, Diksha Dani

Electron. Gov. an Int. J., 2017

Technique for Detecting Early-Warning Signals of Performance Deterioration in Large Scale Software Systems.

Raghu Ramakrishnan, Arvinder Kaur

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Alternatives to VM consolidation techniques for energy aware cloud computing.

Arvinder Kaur, Anirudra Diwakar, Rohit Vashisht

Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016

Integrating firefly algorithm in artificial neural network models for accurate software cost predictions.

Anupama Kaushik, Devendra K. Tayal, Kalpana Yadav, Arvinder Kaur

J. Softw. Evol. Process., 2016

Predicting software change-proneness with code smells and class imbalance learning.

Arvinder Kaur, Kamaldeep Kaur, Shilpi Jain

Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015

Performance Measurement and Analysis of High-Availability Clusters.

Arvinder Kaur, Shraddha Verma

ACM SIGSOFT Softw. Eng. Notes, 2015

A new hybrid scheduling in cloud environment.

Komal, Arvinder Kaur

Proceedings of the 2015 International Conference on Advances in Computing, 2015

A key based security mechanism for payment status in cloud service access control system.

Gagandeep Kaur, Arvinder Kaur

Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014

Grey relational effort analysis technique using robust regression methods for individual projects.

Geeta Nagpal, Moin Uddin, Arvinder Kaur

Int. J. Comput. Intell. Stud., 2014

A comparative study of models for predicting fault proneness in object-oriented systems.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Int. J. Comput. Appl. Technol., 2014

Grey relational effort analysis technique using regression methods for software estimation.

Geeta Nagpal, Moin Uddin, Arvinder Kaur

Int. Arab J. Inf. Technol., 2014

An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction.

Arvinder Kaur, Kamaldeep Kaur

Proceedings of the Advances in Intelligent Informatics, 2014

A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language.

Radhike Sawhney, Arvinder Kaur

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Performance analysis of ensemble learning for predicting defects in open source software.

Arvinder Kaur, Kamaldeep Kaur

Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013

Analyzing software effort estimation using k means clustered regression approach.

Geeta Nagpal, Moin Uddin, Arvinder Kaur

ACM SIGSOFT Softw. Eng. Notes, 2013

Statistical Comparison of Modelling Methods for Software Maintainability Prediction.

Arvinder Kaur, Kamaldeep Kaur

Int. J. Softw. Eng. Knowl. Eng., 2013

2012

Validation of object oriented metrics using open source software system: an empirical study.

Kalpana Johari, Arvinder Kaur

ACM SIGSOFT Softw. Eng. Notes, 2012

Impact of class attributes on cognitive complexity.

Kalpana Johari, Arvinder Kaur

Int. J. Syst. Assur. Eng. Manag., 2012

A Comparative Study of Estimation by Analogy using Data Mining Techniques.

Geeta Nagpal, Moin Uddin, Arvinder Kaur

J. Inf. Process. Syst., 2012

Systematic Literature Review on Regression Test Prioritization Techniques.

Yogesh Singh, Arvinder Kaur, Bharti Suri, Shweta Singhal

Informatica (Slovenia), 2012

Sahaaya: Gesture Recognising System to Provide Effective Communication for Specially-Abled People.

Arvinder Kaur, Piyush Madan

Proceedings of the 2012 IEEE Global Humanitarian Technology Conference, 2012

Empirical study of Software Quality estimation.

Inderpreet Kaur, Arvinder Kaur

Proceedings of the Second International Conference on Computational Science, 2012

A comparative study of two formal specification languages: Z-notation & B-method.

Arvinder Kaur, Samridhi Gulati, Sarita Singh

Proceedings of the Second International Conference on Computational Science, 2012

Interoperability issues in Web Services.

Kalpana Johari, Arvinder Kaur

Proceedings of the Second International Conference on Computational Science, 2012

2011

Effect of software evolution on software metrics: an open source case study.

Kalpana Johari, Arvinder Kaur

ACM SIGSOFT Softw. Eng. Notes, 2011

2010

Empirical validation of object-oriented metrics for predicting fault proneness models.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Softw. Qual. J., 2010

Test case prioritization using ant colony optimization.

Yogesh Singh, Arvinder Kaur, Bharti Suri

ACM SIGSOFT Softw. Eng. Notes, 2010

Application of machine learning methods for software effort prediction.

Ruchika Malhotra, Arvinder Kaur, Guru Gobind Singh

ACM SIGSOFT Softw. Eng. Notes, 2010

Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines.

Ruchika Malhotra, Arvinder Kaur, Yogesh Singh

Int. J. Syst. Assur. Eng. Manag., 2010

A Hybrid Approach for Regression Testing in Interprocedural Program.

Yogesh Singh, Arvinder Kaur, Bharti Suri

J. Inf. Process. Syst., 2010

A Regression Test Selection and Prioritization Technique.

Ruchika Malhotra, Arvinder Kaur, Yogesh Singh

J. Inf. Process. Syst., 2010

Predicting Software Development Effort Using Artificial Neural Network.

Yogesh Singh, Arvinder Kaur, Pradeep Kumar Bhatia, Omprakash Sangwan

Int. J. Softw. Eng. Knowl. Eng., 2010

2009

Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study.

K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Softw. Process. Improv. Pract., 2009

Application of support vector machine to predict fault prone classes.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

ACM SIGSOFT Softw. Eng. Notes, 2009

Empirical Validation of Variable based Test Case Prioritization/Selection Technique.

Yogesh Singh, Arvinder Kaur, Bharti Suri

J. Digit. Content Technol. its Appl., 2009

Comparative analysis of regression and machine learning methods for predicting fault proneness models.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Int. J. Comput. Appl. Technol., 2009

Prediction of Software Quality Model Using Gene Expression Programming.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Proceedings of the Product-Focused Software Process Improvement, 2009

Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Proceedings of the Information Systems, Technology and Management, 2009

Application of Neural Networks in Software Engineering: A Review.

Yogesh Singh, Pradeep Kumar Bhatia, Arvinder Kaur, Omprakash Sangwan

Proceedings of the Information Systems, Technology and Management, 2009

2008

An Empirical Study of Product Metrics in Software Testing.

Yogesh Singh, Arvinder Kaur, Bharti Suri

Proceedings of the Innovative Techniques in Instruction Technology, 2008

Predicting Software Fault Proneness Model Using Neural Network.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Proceedings of the Product-Focused Software Process Improvement, 2008

2007

Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems.

K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

J. Object Technol., 2007

Software Design Metrics for Object-Oriented Software.

K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

J. Object Technol., 2007

Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.

Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007

2006

Empirical Study of Object-Oriented Metrics.

K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

J. Object Technol., 2006

2005

Software Reuse Metrics for Object-Oriented Systems.

K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra

Proceedings of the Third ACIS International Conference on Software Engineering, 2005

2004

Code coverage based technique for prioritizing test cases for regression testing.

K. K. Aggarwal, Yogesh Singh, Arvinder Kaur

ACM SIGSOFT Softw. Eng. Notes, 2004

A neural net based approach to Test Oracle.

K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Omprakash Sangwan

ACM SIGSOFT Softw. Eng. Notes, 2004